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Sr. Full Stack Developer (Senior AI Agent Developer)
Job Location:
Job Location:
New York City, NY - USA
Hourly Salary:
USD 84 - 98
Hourly Salary:
Posted:
1 October 2026 (2 days ago)
Posted:
Application Deadline:
29 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Senior Full Stack Developer (Senior AI Agent Developer)
Job Number: 26-01699
Job Number: 26-01699
Want to be part of the Energy Industry ECLARO is looking for a Senior Full Stack Developer (Senior AI Agent Developer) for our client in New York NY.
ECLAROs client operates one of the worlds largest energy delivery systems constantly at the forefront of innovations in developing technology. If youre up to the challenge then take a chance at this rewarding opportunity!
Position Overview:
- A seasoned hands-on Senior AI Agent Developer on a contract basis to lead the design development testing and deployment of enterprise-grade conversational AI agents and intelligent workflow automations.
- In this role you will be instrumental in architecting Conversational AI solutions natively within Google Cloud Platform (specifically leveraging GECX / Dialogflow CX) orchestrating multi-cloud integrations across Azure and ServiceNow establishing automated CI/CD deployment pipelines in Azure DevOps and validating systems through automated test frameworks.
- The ideal candidate brings strong polyglot development capability Python (must have) TypeScript and JavaScript deep multi-cloud experience and a proven track record delivering within a Scaled Agile Framework (SAFe) environment.
Responsibilities:
- Agent Architecture & Implementation: Design build train and test conversational flows intents custom route groups and LLM-powered tools within Google Cloud Platform using GECX / Dialogflow CX.
- Full-Stack & Backend Integration: Develop robust RESTful APIs webhooks and microservices Python or to integrate conversational agents with ServiceNow and Azure enterprise systems.
- DevOps & Pipeline Automation: Build maintain and enhance automated CI/CD pipelines in Azure DevOps for environment provisioning validation and continuous deployment of agent configurations and fulfillment services.
- Automated Quality Engineering: Implement automated test suites covering unit logic webhook APIs dialog flow regressions and end-to-end conversational journeys.
- Data Querying & Performance Tuning: Write and optimize complex SQL queries for conversational analytics reporting and backend data operations.
- Agile Execution: Actively participate in SAFe Agile ceremonies including Program Increment (PI) planning sprint execution backlog refinement and cross-team dependency mapping.
Required Qualifications:
- Deep Conversational AI Expertise (GECX / Dialogflow CX): Proven track record of designing building and deploying enterprise-scale virtual agents using Google Cloud Platform conversational frameworks specifically GECX / Dialogflow CX including state handlers route groups webhook fulfillment condition rules and generative agent capabilities.
- Core Polyglot Development (.NET Python TypeScript JavaScript): Extensive hands-on experience building backend services API fulfillment webhooks and asynchronous workflows (C#) alongside Python TypeScript and JavaScript.
- Automated Testing & Quality Engineering: Strong hands-on experience implementing automated testing strategies for conversational systems and APIsincluding unit testing mock services integration testing and regression test suites for dialog flows using modern test frameworks (e.g. NUnit/XUnit Pytest Jest or Postman/Newman).
- Automated CI/CD Implementation in Azure DevOps: Demonstrated mastery in designing and configuring production-ready CI/CD pipelines in Azure DevOps (YAML pipelines release gates automated linting test execution and deployment artifacts).
- Enterprise Multi-Cloud Integration (Azure & ServiceNow): In-depth experience integrating distributed cloud services across multi-cloud environments specifically connecting conversational agents with ServiceNow APIs (Incident Change Service Catalog Flow Designer) and Azure services.
- Advanced SQL & Enterprise Data Operations: Strong proficiency in writing complex SQL queries relational database modeling and data manipulation to support dynamic agent lookups reporting and transactional verification.
- SAFe Agile Methodology Experience: Solid experience operating within a Scaled Agile Framework (SAFe) enterprise environment actively engaging in Program Increment (PI) planning sprint iterations user story sizing and coordinating cross-functional ART (Agile Release Train) dependencies.
- Modern Development Workflow & Tooling (VS Code / Antigravity): Fluency with professional developer toolchains Git-based version control and proficiency coding debugging and running local emulations inside modern IDE environments like VS Code or Antigravity.
- AI Agent Architecture & Fallback Orchestration: Demonstrated capability to architect fault-tolerant conversational agent interactions context and session variable management prompt engineering intent classification and seamless human escalation / fallback workflows.
- Enterprise Security & Cloud Fundamentals: Practical knowledge of securing multi-cloud integrations including OAuth2 API key management role-based access control (RBAC) and secrets handling across GCP Azure and ServiceNow.
- Conversational AI & Cloud: Google Cloud Platform (GECX / Dialogflow CX Vertex AI) Microsoft Azure
- Languages & Runtimes: .NET (C#) Python 3.x / TypeScript / JavaScript SQL
- DevOps & Testing: Azure DevOps (Pipelines Repos) Git Automated API/Unit Testing Frameworks
- Enterprise Platforms: ServiceNow (REST APIs Flow Designer)
- Agile Framework: SAFe (Scaled Agile Framework) Jira / Azure Boards
- Development Environments: Visual Studio Code (VS Code) Antigravity
Preferred Qualifications:
- Familiarity with Contact Center AI (CCAI) architectures and telephony/voice gateway integrations.
- Experience with Site Reliability Engineering (SRE) principles telemetry/observability and AIOps event correlation.
- Experience with containerization (Docker Kubernetes) and serverless deployment models (Cloud Run Google Cloud Functions Azure Functions).
Pay Rate: $84.00-$98.00/Hour
If hired you will enjoy the following ECLARO Benefits:
- 401k Retirement Savings Plan administered by Merrill Lynch
- Commuter Check Pretax Commuter Benefits
- Eligibility to purchase Medical Dental & Vision Insurance through ECLARO
If interested you may contact:
Heckle Tulab
Heckle Tulab LinkedIn
Equal Opportunity Employer:ECLARO values diversity and does not discriminate based on Race Color Religion Sex Sexual Orientation National Origin Age Genetic Information Disability Protected Veteran Status or any other legally protected group status in compliance with all applicable laws.
Required Experience:
Senior IC
About Company
ECLARO delivers custom outsourcing, direct placement, and strategic staffing for Fortune 500 and startups. Access 12M+ vetted professionals across IT, finance, healthcare, and more.
